Tianwei Yu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 22

Top Topics

Feature Selection

Gene Expression

Top Venues

Briefings Bioinform.

PLoS Comput. Biol.

Publications

Guoxuan Ma, Jian Kang, Tianwei Yu
Bayesian functional analysis for untargeted metabolomics data with matching uncertainty and small sample sizes. Briefings Bioinform. 25 (3) (2024)
Leqi Tian, Tianwei Yu
An integrated deep learning framework for the interpretation of untargeted metabolomics data. Briefings Bioinform. 24 (4) (2023)
Tianwei Yu, Peng Chen, Yuanjie Dang, Ruohong Huan, Ronghua Liang
Multi-Speed Global Contextual Subspace Matching for Few-Shot Action Recognition. ACM Multimedia (2023)
Junning Feng, Yong Liang, Tianwei Yu
MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events. Comput. Biol. Medicine 166 (2023)
Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo
BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. Big Data (2022)
Leqi Tian, Zhenjiang Li, Guoxuan Ma, Xiaoyue Zhang, Ziyin Tang, Siheng Wang, Jian Kang, Donghai Liang, Tianwei Yu
Metapone: a Bioconductor package for joint pathway testing for untargeted metabolomics data. Bioinform. 38 (14) (2022)
Junge Shen, Tianwei Yu, Haopeng Yang, Ruxin Wang, Qi Wang
An Attention Cascade Global-Local Network for Remote Sensing Scene Classification. Remote. Sens. 14 (9) (2022)
Peng Chen, Yongqi Jiang, Yuanjie Dang, Tianwei Yu, Ronghua Liang
Real-Time Efficient Trajectory Planning for Quadrotor Based on Hard Constraints. J. Intell. Robotic Syst. 105 (3) (2022)
Tianwei Yu
AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustments. PLoS Comput. Biol. 18 (1) (2022)
Kenong Su, Tianwei Yu, Hao Wu
Accurate feature selection improves single-cell RNA-seq cell clustering. Briefings Bioinform. 22 (5) (2021)
Yunchuan Kong, Tianwei Yu
forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction. Bioinform. 36 (11) (2020)
Teng Fei, Tianwei Yu
scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment. Bioinform. 36 (10) (2020)
Yunchuan Kong, Tianwei Yu
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction. CoRR (2019)
Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu
DNLC: differential network local consistency analysis. BMC Bioinform. (15) (2019)
Yuanjie Dang, Peng Chen, Ronghua Liang, Chong Huang, Yuesheng Tang, Tianwei Yu, Xin Yang, Kwang-Ting Cheng
Real-Time Semantic Plane Reconstruction on a Monocular Drone Using Sparse Fusion. IEEE Trans. Veh. Technol. 68 (8) (2019)
Zhuxuan Jin, Jian Kang, Tianwei Yu
Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations. Bioinform. 34 (9) (2018)
Teng Fei, Tengjiao Zhang, Weiyang Shi, Tianwei Yu
Mitigating the adverse impact of batch effects in sample pattern detection. Bioinform. 34 (15) (2018)
Tianwei Yu
Nonlinear variable selection with continuous outcome: A fully nonparametric incremental forward stagewise approach. Stat. Anal. Data Min. 11 (4) (2018)
Tianwei Yu
A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data. PLoS Comput. Biol. 14 (8) (2018)
Yunchuan Kong, Tianwei Yu
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data. Bioinform. 34 (21) (2018)
Yan Yan, Shangzhao Qiu, Zhuxuan Jin, Sihong Gong, Yun Bai, Jianwei Lu, Tianwei Yu
Detecting subnetwork-level dynamic correlations. Bioinform. 33 (2) (2017)
Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu
Bayesian network feature finder (BANFF): an R package for gene network feature selection. Bioinform. 32 (23) (2016)
Tianwei Yu, Dean P. Jones
Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approach. Bioinform. 30 (20) (2014)
Tianwei Yu, Yun Bai
Network-based modular latent structure analysis. BMC Bioinform. 15 (S-13) (2014)
Karan Uppal, Quinlyn A. Soltow, Frederick H. Strobel, W. Stephen Pittard, Kim M. Gernert, Tianwei Yu, Dean P. Jones
xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data. BMC Bioinform. 14 (2013)
Tianwei Yu, Yize Zhao, Shihao Shen
-value lists. Stat. Anal. Data Min. 6 (2) (2013)
Tianwei Yu, Hesen Peng
Hierarchical Clustering of High- Throughput Expression Data Based on General Dependences. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (4) (2013)
Anna J. Blackstock, Amita K. Manatunga, Youngja Park, Dean P. Jones, Tianwei Yu
Clustering based on periodicity in high-throughput time course data. Stat. Anal. Data Min. 4 (6) (2011)
Tianwei Yu, Hesen Peng, Wei Sun
Incorporating Nonlinear Relationships in Microarray Missing Value Imputation. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (3) (2011)
Tianwei Yu
An exploratory data analysis method to reveal modular latent structures in high-throughput data. BMC Bioinform. 11 (2010)
Tianwei Yu, Hesen Peng
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection. BMC Bioinform. 11 (2010)
Tianwei Yu, Youngja Park, Jennifer M. Johnson, Dean P. Jones
apLCMS - adaptive processing of high-resolution LC/MS data. Bioinform. 25 (15) (2009)
Tianwei Yu, Hui Ye, Wei Sun, Ker-Chau Li, Zugen Chen, Sharoni Jacobs, Dione K. Bailey, David T. Wong, Xiaofeng Zhou
A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array. BMC Bioinform. 8 (2007)
Wei Sun, Tianwei Yu, Ker-Chau Li
Detection of eQTL modules mediated by activity levels of transcription factors. Bioinform. 23 (17) (2007)
Tianwei Yu, Ker-Chau Li
Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinform. 21 (21) (2005)
Tianwei Yu, Wei Sun, Shinsheng Yuan, Ker-Chau Li
Study of coordinative gene expression at the biological process level. Bioinform. 21 (18) (2005)